A Home-Care PDA-Based Program for the Management of COPD Patients. - Tomás Teijeiro; Miguel Tarascó; Paulo Félix; Jesús María Rodríguez Presedo (MIE, 2009)

SERVANDO: An extensible platform for home-care services providing. - Tomás Teijeiro; Paulo Félix; Jesús Presedo; A. Gandara (EMBC, 2011)

An open platform for the protocolization of home medical supervision. - Tomás Teijeiro; Paulo Félix; Jesús María Rodríguez Presedo; Carlos Zamarrón (Expert Syst. Appl., 2013)

Using Temporal Abduction for Biosignal Interpretation: A Case Study on QRS Detection. - Tomás Teijeiro; Paulo Félix; Jesús Presedo (ICHI, 2014)

A Noise Robust QRS Delineation Method Based on Path Simplification. - Tomás Teijeiro; Paulo Félix; Jesús Presedo (CinC, 2015)

Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records. - Tomás Teijeiro; Constantino A. García; Daniel Castro 002; Paulo Félix (CinC, 2017)

On the adoption of abductive reasoning for time series interpretation. - Tomás Teijeiro; Paulo Félix (Artif. Intell., 2018)

Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification. - Tomás Teijeiro; Constantino A. García; Daniel Castro 002; Paulo Félix (CoRR, 2018)

Heartbeat Classification Using Abstract Features From the Abductive Interpretation of the ECG. - Tomás Teijeiro; Paulo Félix; Jesús Presedo; Daniel Castro 002 (IEEE J. Biomed. Health Informatics, 2018)

Knowledge, Machine Learning and Atrial Fibrillation: More Ingredients for a Tastier Cocktail. - Tomás Teijeiro (CinC, 2020)

An Event-Based System for Low-Power ECG QRS Complex Detection. - Silvio Zanoli; Tomás Teijeiro; Fabio Montagna; David Atienza (DATE, 2020)

Construe: a software solution for the explanation-based interpretation of time series. - Tomás Teijeiro; Paulo Félix (CoRR, 2020)

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms. - Lara Orlandic; Tomás Teijeiro; David Atienza (CoRR, 2020)

Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems. - Grégoire Surrel; Tomás Teijeiro; Amir Aminifar; David Atienza; Matthieu Chevrier (IEEE Des. Test, 2020)

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms. - Lara Orlandic; Tomás Teijeiro; David Atienza (Zenodo, 2020)

Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices. - Farnaz Forooghifar; Amin Aminifar; Tomás Teijeiro; Amir Aminifar; Jesper Jeppesen; Sándor Beniczky; David Atienza (AICAS, 2021)

Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection. - Una Pale; Tomás Teijeiro; David Atienza (EMBC, 2021)

Interpreting deep learning models for epileptic seizure detection on EEG signals. - Valentin Gabeff; Tomás Teijeiro; Marina Zapater; Leila Cammoun; Sylvain Rheims; Philippe Ryvlin; David Atienza (Artif. Intell. Medicine, 2021)

Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection. - Una Pale; Tomás Teijeiro; David Atienza (CoRR, 2021)

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms. - Lara Orlandic; Tomás Teijeiro; David Atienza (Zenodo, 2021)

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms. - Lara Orlandic; Tomás Teijeiro; David Atienza (Zenodo, 2021)

Physiological signals labeler. - Silvio Zanoli; Tomás Teijeiro Campo; David Atienza Alonso (Zenodo, 2021)

ECG in High Intensity Exercise Dataset. - Elisabetta De Giovanni; Tomás Teijeiro; David Meier; Grégoire P. Millet; David Atienza (Zenodo, 2021)

ExG Signal Feature Selection Using Hyperdimensional Computing Encoding. - Una Pale; Tomás Teijeiro; David Atienza (BIBM, 2022)

INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection. - Lorenzo Ferretti; Giovanni Ansaloni; Renaud Marquis; Tomás Teijeiro; Philippe Ryvlin; David Atienza; Laura Pozzi 001 (DATE, 2022)

Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection. - Una Pale; Tomás Teijeiro; David Atienza (EMBC, 2022)

HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration. - William Andrew Simon; Una Pale; Tomás Teijeiro; David Atienza (ICCAD, 2022)

Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection. - Una Pale; Tomás Teijeiro; David Atienza (CoRR, 2022)

Automated machine learning for borehole resistivity measurements. - Mostafa Shahriari; David Pardo; S. Kargaran; Tomás Teijeiro (CoRR, 2022)

Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems. - Saleh Baghersalimi; Alireza Amirshahi; Farnaz Forooghifar; Tomás Teijeiro; Amir Aminifar; David Atienza (CoRR, 2022)

Personalized Real-Time Federated Learning for Epileptic Seizure Detection. - Saleh Baghersalimi; Tomás Teijeiro; David Atienza; Amir Aminifar (IEEE J. Biomed. Health Informatics, 2022)

A Multimodal Dataset for Automatic Edge-AI Cough Detection. - Lara Orlandic; Jérôme Thevenot; Tomás Teijeiro; David Atienza (EMBC, 2023)

Importance of methodological choices in data manipulation for validating epileptic seizure detection models. - Una Pale; Tomás Teijeiro; David Atienza (EMBC, 2023)

Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing. - Una Pale; Tomás Teijeiro; David Atienza (CoRR, 2023)

Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis. - Tomás Teijeiro; Jamie M. Taylor; Ali Hashemian; David Pardo (CoRR, 2023)

A Multimodal Dataset for Automatic Edge-AI Cough Detection. - Lara Orlandic; Jérôme Thevenot; Tomás Teijeiro; David Atienza (Zenodo, 2023)

Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise. - Elisabetta De Giovanni; Tomás Teijeiro; Grégoire P. Millet; David Atienza (IEEE Trans. Biomed. Eng., 2023)

An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors. - Silvio Zanoli; Flavio Ponzina; Tomás Teijeiro; Alexandre Levisse; David Atienza (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Event-based sampled ECG morphology reconstruction through self-similarity. - Silvio Zanoli; Giovanni Ansaloni; Tomás Teijeiro; David Atienza (Comput. Methods Programs Biomed., 2023)

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification. - Lara Orlandic; Tomás Teijeiro; David Atienza (Comput. Methods Programs Biomed., 2023)

How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance. - Lara Orlandic; Jonathan Dan; Jérôme Thevenot; Tomás Teijeiro; Alain Sauty; David Atienza (BSN, 2024)

Acoustical features as knee health biomarkers: A critical analysis. - Christodoulos Kechris; Jérôme Thevenot; Tomás Teijeiro; Vincent A. Stadelmann; Nicola A. Maffiuletti; David Atienza (Artif. Intell. Medicine, 2024)

Combining general and personal models for epilepsy detection with hyperdimensional computing. - Una Pale; Tomás Teijeiro; Sylvain Rheims; Philippe Ryvlin; David Atienza (Artif. Intell. Medicine, 2024)

Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems. - Saleh Baghersalimi; Tomás Teijeiro; Amir Aminifar; David Atienza (IEEE Trans. Mob. Comput., 2024)

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems. - Saleh Baghersalimi; Alireza Amirshahi; Farnaz Forooghifar; Tomás Teijeiro; Amir Aminifar; David Atienza (ACM Trans. Intell. Syst. Technol., 2024)

Efficient Numerical Integration for Finite Element Trunk Spaces in 2D and 3D using Machine Learning: A new Optimisation Paradigm to Construct Application-Specific Quadrature Rules. - Tomás Teijeiro; Pouria Behnoudfar; Jamie M. Taylor; David Pardo; Victor M. Calo (CoRR, 2025)